"A server that reviews GitHub pull requests or provides diffs" matching MCP servers:

Enables fetching and analyzing Gemini Code Assist reviews from GitHub pull requests, with smart defaults and pagination.

MCP server exposing GitHub tools for issues, pull requests, and code browsing via the GitHub REST API. Designed for local LLM clients with flat arguments and streamable HTTP support.

Enables self-hosted, read-only remote interaction with GitHub repositories, allowing listing repositories, searching code, and inspecting commits, pull requests, issues, and diffs via authenticated MCP clients.

Enables Claude Desktop to analyze repositories, fetch and create issues, inspect pull request diffs, and comment on pull requests through the GitHub API using natural-language commands.

Enables AI assistants to query GitHub repository data through read-only tools, including repo metadata, issues, pull requests, commit statuses, PR diffs, and recent commits. Works with any MCP-compatible client over stdio or Streamable HTTP.

MCP server for interacting with GitHub pull requests and issues via natural language. Provides tools to list PRs, inspect diffs, check CI status, and post review comments with write-safety guards.

Enables AI assistants to autonomously review GitHub Pull Requests by listing PRs, retrieving diffs, and submitting structured reviews.

MCP server for exploring GitHub public data. It provides tools to fetch user profiles, list top repositories, and calculate language usage statistics, which AI agents can invoke dynamically.

Enables AI assistants to search and inspect code repositories, manage issues and pull requests, and analyze user contributions.

MCP server that exposes GitHub operations as tools for AI agents, enabling code search, issue management, and PR review.

MCP server that enables LLMs to search GitHub, clone repositories, and perform read-only git/GitHub operations such as listing branches, commits, issues, and pull requests.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Enables LLM hosts to perform scoped GitHub operations over stdio, including repository intelligence, pull request lifecycle and diff inspection, and commit history queries. It exposes 12 FastMCP tools backed by PyGithub for repository, PR, and commit workflows.

A focused Model Context Protocol server for triaging and reviewing GitHub pull requests from Claude Desktop, Cursor, and other stdio-compatible MCP clients.

Enables AI assistants to analyze GitHub repository structures and read file contents with features like directory traversal, file type analysis, syntax highlighting, and code pattern detection. Supports both public and private repositories through GitHub API integration.

Enables automated GitHub Pull Request reviews using local Ollama, Cursor CLI, or Gemini CLI as AI providers. Supports customizable review prompts, comprehensive PR analysis, and optional auto-posting of reviews to GitHub.

Enables AI agents to search repositories, inspect files and code, list issues and commits, check releases, and look up GitHub user profiles through the GitHub public REST API without authentication.

Stateless Streamable HTTP MCP server exposing 5 GitHub tools (user info, repository metadata, file contents, issue listing, and issue creation) with token-based authentication required only for tool calls.

Comprehensive MCP server for analyzing GitHub pull requests, detecting security vulnerabilities, assessing code quality, and providing risk ratings across multiple languages.

Enables local models to query GitHub read-only through nine compact tools that return small, capped results, such as repositories, issues, pull requests, commits, code search, and file contents.